Application Areas
34,437 papers (4 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Domain Adaptation (9,897)
Efficient Computing (8,226)
Data Augmentation (3,648)
Fairness (3,574)
Knowledge Distillation (3,219)
Privacy (3,022)
Domain Generalization (1,972)
Model Compression (1,736)
Risk Management (1,119)
Model Merging (592)
Recommender Systems (343)
Information Retrieval (249)
Text Classification (144)
Text Processing (2)
Papers per year
1
3
5
5
4
19
24
28
26
35
42
55
142
116
147
330
517
1,020
1,828
2,498
3,411
3,854
5,063
6,422
7,176
1,666
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Dataset Diffusion: Diffusion-based Synthetic Data Generation for Pixel-Level Semantic Segmentation
NeurIPS 2023
Dataset Distillation with Attention Labels for Fine-tuning BERT
ACL 2023
Dataset Distillation with Convexified Implicit Gradients
ICML 2023
DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models
NeurIPS 2023
Dataset Quantization
ICCV 2023
DATE: Domain Adaptive Product Seeker for E-Commerce
CVPR 2023
DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model
CVPR 2023
DATScore: Evaluating Translation with Data Augmented Translations
EACL 2023
D-CALM: A Dynamic Clustering-based Active Learning Approach for Mitigating Bias
ACL 2023
DCCRN-KWS: An Audio Bias Based Model for Noise Robust Small-Footprint Keyword Spotting
Interspeech 2023
DChannel: Accelerating Mobile Applications With Parallel High-bandwidth and Low-latency Channels
NSDI 2023
Dealing with Semantic Underspecification in Multimodal NLP
ACL 2023
DeAR: A Deep-Learning-Based Audio Re-recording Resilient Watermarking
AAAI 2023
DeAR: Debiasing Vision-Language Models With Additive Residuals
CVPR 2023
Debiased Automatic Speech Recognition for Dysarthric Speech via Sample Reweighting with Sample Affinity Test
Interspeech 2023
Debiased Fine-Tuning for Vision-Language Models by Prompt Regularization
AAAI 2023
Debiasing Intrinsic Bias and Application Bias Jointly via Invariant Risk Minimization (Student Abstract)
AAAI 2023
Debiasing Multimodal Models via Causal Information Minimization
EMNLP 2023
Debiasing Pretrained Generative Models by Uniformly Sampling Semantic Attributes
NeurIPS 2023
Debiasing should be Good and Bad: Measuring the Consistency of Debiasing Techniques in Language Models
ACL 2023
Debias NLU Datasets via Training-free Perturbations
EMNLP 2023
Debunking Biases in Attention
ACL 2023
Dec-Adapter: Exploring Efficient Decoder-Side Adapter for Bridging Screen Content and Natural Image Compression
ICCV 2023
Decentralization and Acceleration Enables Large-Scale Bundle Adjustment
RSS 2023
Decentralized Learning With Multi-Headed Distillation
CVPR 2023